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3 DOF, LONG RANGE PLANAR LIFT AND SLIDE MICRO-CONVEYOR WITH VISION-BASED CONTROL SYSTEM

dc.contributor.authorEllerington, Neil
dc.contributor.copyright-releaseYesen_US
dc.contributor.degreeDoctor of Philosophyen_US
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinerDr. Yu Sunen_US
dc.contributor.graduate-coordinatorDr. Marek Kujathen_US
dc.contributor.manuscriptsYesen_US
dc.contributor.thesis-readerDr. Jason Guen_US
dc.contributor.thesis-readerDr. Marek Kujathen_US
dc.contributor.thesis-supervisorDr. Ted Hubbarden_US
dc.date.accessioned2013-09-09T15:59:58Z
dc.date.available2013-09-09T15:59:58Z
dc.date.defence2012-05-22
dc.date.issued2013-09-09
dc.description.abstractThe purpose of this thesis is to introduce a novel method of dry micro-object manipulation and to demonstrate predictable vision-based control. The Lift and slide conveyors presented utilize three main components: pads, lifters and a floating platform. The pads have a small planar displacement in the XY axis and lifters have a small Z axis displacement. Together they can be used to create minute displacements per cycle while carrying a floating platform that can hold the desired objects to be moved. These platforms can be handed off to other pad-lifter groups to create an unlimited planar envelope. Two degree of freedom control was established using LabView with open and closed loop routines. A model is presented that predicts the resonance frequencies with different loading and geometric characteristics to aid in design optimization for various applications. Parameters such as velocity, drift and traction are well characterized for different operating conditions.en_US
dc.identifier.urihttp://hdl.handle.net/10222/36319
dc.language.isoenen_US
dc.subjectMEMSen_US
dc.subjectMicro-conveyoren_US
dc.subjectLong rangeen_US
dc.subjectUntethereden_US
dc.subject3 DOFen_US
dc.subjectpolyMUMPsen_US
dc.title3 DOF, LONG RANGE PLANAR LIFT AND SLIDE MICRO-CONVEYOR WITH VISION-BASED CONTROL SYSTEMen_US
dc.typeThesisen_US

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